Gerardo Salazar
Senior Data Engineer
Houston, Texas, United States
Summary
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RockstarGerardo Salazar is a Senior Data Engineer with nine years of hands-on experience building reliable, scalable data and infrastructure systems across cloud and hybrid environments. He combines strong software engineering skills in Python, C#, Go and Pandas with SRE and DevOps expertise—having run incident response and production reliability for Twilio’s SendGrid platform and contributing to monitoring and cost/performance improvements. At QuantConnect he led data integrations for the open-source LEAN trading engine, improving data integrity for complex futures and options feeds and authoring documentation and tests that helped the project’s reproducibility. Now based in Houston and currently at Mimecast, he brings a practical focus on data correctness, operational resilience, and vendor onboarding for high-quality, bias-aware datasets. Notably, his background spans both deep backend fixes for edge-case financial data and frontline on-call leadership, a blend that helps bridge engineering and operational priorities.
9 years of coding experience
5 years of employment as a software developer
Github Skills (11)
finance10
back-end-development10
python10
financial-data10
documentation10
data-processing10
algorithmic-trading9
csharp9
dotnet-core9
data-structure9
data-structures9
Programming languages (8)
Github contributions (5)
QuantConnect/Lean
Jan 2019 - Sep 2021
Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
Role in this project:
Backend Developer
Backend DeveloperContributions:69 reviews, 398 commits, 194 PRs in 2 years 8 months
Contributions summary:Gerardo contributed to the Lean Algorithmic Trading Engine by fixing issues related to writing and reading financial data, specifically for Futures and Options data. They addressed bugs preventing correct storage of data, including handling negative or invalid data points and ensuring proper handling for edge cases that were identified in the process. Their work involved modifying existing classes and methods, along with adding tests to verify data correctness, highlighting a focus on data processing and reliability.
algorithmic-trading-enginepythonpinescriptbacktesting-trading-strategiesc-sharp
QuantConnect/Documentation
Aug 2019 - Apr 2020
QuantConnect Wiki Style Documentation Behind QuantConnect
Role in this project:Technical Writer
Technical WriterContributions:27 commits, 7 PRs, 21 pushes in 8 months
Contributions summary:Gerardo primarily contributed to the documentation of the QuantConnect documentation repository. Their work focused on writing and refining documentation for various alternative data sources, including Trading Economics, SEC EDGAR filings, US Treasury yield curve data, Benzinga, and CBOE. The user added usage examples, data properties, and demonstration algorithms to the documentation. They also updated links and fixed styling issues within the documentation.
wikiquantconnect
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